Real-world evolution adapts robot morphology and control to hardware limitations.
Tønnes F. NygaardCharles P. MartinEivind SamuelsenJim TørresenKyrre GlettePublished in: GECCO (2018)
Keyphrases
- real world
- robot control
- mobile robot
- real time
- autonomous robots
- control signals
- control program
- wide range
- low cost
- data acquisition
- hand eye
- robotic systems
- force control
- robot manipulators
- hardware and software
- control architecture
- visual servoing
- home environment
- robot arm
- motion control
- robotic arm
- data sets
- image processing
- synthetic data
- robot behavior
- case study
- semi autonomous
- control system
- vision system
- control unit
- robotic manipulator
- control software
- path planning
- changing environment
- real world environments
- skill learning
- evolutionary robotics
- walking robot
- human operators
- sagittal plane
- image analysis
- service robots
- end effector
- control strategy
- embedded systems
- autonomous vehicles
- robot navigation
- control strategies